ZipRecruiter

Log In

2

Quantum Computing Engineer Remote Jobs in Milpitas, CA

Snarkify

Senior Software Engineer - CUDA

Palo Alto, CA · On-site +1

$144K - $189K/yr

The opportunity to build the next-generation ZK computing platform. * Immersion in a team of top-notch global blockchain engineers. * A flexible and innovative remote work environment. * Room for ...

AttoTude

MMIC Design Engineer

Menlo Park, CA · On-site +1

$160K - $250K/yr

Design and development of THz ICs for cutting edge AI and Cloud Computing systems * Ownership of ... Master's Degree (MEng) in Electrical Engineering or related field is required * A Ph.D. in ...

AttoTude

MMIC Design Engineer

Menlo Park, CA · On-site +1

Design and development of THz ICs for cutting edge AI and Cloud Computing systems * Ownership of ... Master's Degree (MEng) in Electrical Engineering or related field is required * A Ph.D. in ...

previous pagenext page

Showing results 21-40

All JobsQuantum Computing Engineer JobsQuantum Computing Engineer Remote JobsQuantum Computing Engineer Remote Jobs in Milpitas, CA

Quantum Computing Engineer Remote information

See Milpitas, CA salary details

$63.5K

$131K

$185.3K

How much do quantum computing engineer remote jobs pay per year?

As of Aug 21, 2026, the average yearly pay for quantum computing engineer remote in Milpitas, CA is $131,030.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,200.00 and $144,500.00 per year, depending on experience, location, and employer.

What does a quantum computing engineer do when working remotely?

A Quantum Computing Engineer working remotely designs, develops, and tests algorithms and software that leverage quantum computers, often collaborating with teams using virtual tools. They may focus on quantum programming, error correction, or integrating quantum solutions with classical systems. Remote engineers access quantum hardware through cloud-based platforms, participate in research, and stay current with advancements in quantum technology. Effective communication and self-management skills are essential for success in this remote role.

What are the key skills and qualifications needed to thrive as a quantum computing engineer remote?

A Quantum Computing Engineer requires strong knowledge in quantum mechanics, computer science, and mathematics, often supported by a degree in physics, engineering, or a related field. Familiarity with quantum programming languages (such as Qiskit or Cirq), cloud-based quantum platforms, and proficiency in Python are typically necessary, and certifications in quantum computing can be advantageous. Excellent problem-solving skills, self-motivation, and effective remote communication are essential soft skills for success in a distributed team environment. These competencies enable engineers to develop innovative quantum algorithms, collaborate efficiently, and drive advancements in this rapidly evolving field.

What are the typical collaboration dynamics for a remote quantum computing engineer, and how do teams coordinate on complex projects?

As a remote Quantum Computing Engineer, you’ll typically work as part of a multidisciplinary team that may include physicists, software developers, and hardware engineers. Collaboration often relies on version control systems, virtual meetings, and shared documentation platforms to coordinate complex research and development tasks. Regular syncs, code reviews, and agile methodologies are commonly used to ensure everyone stays aligned despite geographic distances. Effective communication and a proactive approach to problem-solving are key, as much of the work involves iterative testing and collective troubleshooting. This structure allows for both deep individual focus and consistent team progress on groundbreaking projects.

What is the difference between Quantum Computing Engineer Remote vs Quantum Software Developer?

AspectQuantum Computing Engineer RemoteQuantum Software Developer
Required CredentialsBachelor's or Master's in Physics, Computer Science, or related field; knowledge of quantum algorithmsBachelor's or Master's in Computer Science or related; programming skills in quantum languages
Work EnvironmentRemote, often collaborative with research teams or tech companiesRemote or on-site, focused on developing and testing quantum software
Employer & Industry UsageTech companies, research labs, startups in quantum techSoftware firms, tech companies, research institutions

While both roles involve quantum computing, Quantum Computing Engineers Remote focus on designing and developing quantum hardware and algorithms, whereas Quantum Software Developers primarily create software applications and simulations. Both roles often require similar educational backgrounds and can be performed remotely, but their core responsibilities differ in hardware versus software development within the quantum industry.

What are popular job titles related to Quantum Computing Engineer Remote jobs in Milpitas, CA?

For Quantum Computing Engineer Remote jobs in Milpitas, CA, the most frequently searched job titles are:

What job categories do people searching Quantum Computing Engineer Remote jobs in Milpitas, CA look for?

The top searched job categories for Quantum Computing Engineer Remote jobs in Milpitas, CA are:

What cities near Milpitas, CA are hiring for Quantum Computing Engineer Remote jobs?

Cities near Milpitas, CA with the most Quantum Computing Engineer Remote job openings:

Quantum Computing Engineer Remote jobs near you

Senior Infrastructure Engineer - Bazel Remote Execution

Nvidia

Santa Clara, CA • On-site, Remote

$127K - $173K/yr

Full-time

Re-posted 6 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 245 rated software companies

Job description

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology-and amazing people.
Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. As part of this role you will be working on a powerful private cloud system that supports various teams across NVIDIA. Imagine scaling cloud services to run on thousands of servers and handling millions of automated jobs every day, improving the efficiency of NVIDIA's software engineers worldwide. We collaborate with teams such as Graphics Processors, Mobile Processors, Deep Learning, Artificial Intelligence, Autonomous Vehicles, and Omniverse!
What you'll be doing:

  • Craft creative scalable cloud solutions for running millions of jobs, thousands of systems, and petabytes of storage.

  • Address exciting challenges in infrastructure such as Kubernetes, job scheduling, multi-region services, resource management, and automated recovery.

  • Create agentic workflows for infrastructure

  • Collaborate with customers to understand their needs and develop innovative solutions that cater to their requirements.


What we need to see:

  • Proven experience in developing scalable cloud infrastructure solutions from concept to production.

  • Background in AI/ML, Data Analytics, and their application in infrastructure.

  • Strong background in object-oriented programming, with a preference for Java or Go.

  • Ability to collaborate optimally across multiple teams and different time zones.

  • Bachelor's degree or equivalent experience.

  • 8+ years of experience in infrastructure development.


Ways to stand out from the crowd:

  • Strong hands-on experience with Bazel Remote Execution (Buildbarn, Buildfarm, or similar).

  • Expertise in crafting and scaling microservices and deploying them on Kubernetes clusters.

  • Built robust distributed systems for heterogeneous platforms.

  • Experience working in infrastructure or on hardware systems

  • Solid programming skills in Golang (preferred) and/or Java


Come and work with us at NVIDIA where we have the most resourceful and dedicated people in the world to advance Artificial Intelligence. If you are passionate about infrastructure, we'd love to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until June 19, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

View All Nvidia Jobs

Apply